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By analysing reliability for different forecast system ensembles, we further highlight the fact that the combination of models seems to play a more important role than the ensemble size of each individual forecast system. This is due to sampling different model errors related to model physics, numerics and initialisation approaches involved in the multi-model, allowing for a certain level of error compensation. Finally, this study demonstrates that all forecast system ensembles are affected by systematic biases and dispersion errors that affect the reliability.
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Accuracy vs precision?
The whole country is learning about Benford's Law. Unbounded integer data sets are subject to meta-analysis.
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.Without freedom of speech we wouldn't know who all the idiots are. -- anonymous poster
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.Because much of what is in the published literature is nonsense,
and much of what isn’t nonsense is not in the scientific literature.
-- Sabine Hossenfelder
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